Processing policy variance requests in an enterprise computing environment

ABSTRACT

Methods, systems, and computer-readable media for processing policy variance requests in an enterprise computing environment are presented. A computing platform may receive, from a first endpoint computing device, a request for a first policy variance. In response to receiving the request, the computing platform may authenticate the first endpoint computing device based on enrollment information and may validate contents of the request. Subsequently, the computing platform may generate a policy variance result message based on approval or rejection of the request for the first policy variance. Then, the computing platform may send, to the first endpoint computing device, the policy variance result message. By sending the policy variance result message to the first endpoint computing device, the computing platform may cause the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance.

FIELD

Aspects of the disclosure relate to computer hardware and software. In particular, one or more aspects of the disclosure relate to processing policy variance requests in an enterprise computing environment.

BACKGROUND

Enterprise organizations, their employees, and other associated users are increasingly using mobile computing devices to engage in a variety of functions, such as sending and receiving email, managing calendars and tasks, creating and viewing content, accessing and modifying enterprise information, and executing other functions. As such mobile devices are increasingly adopted and used, it is increasingly important for organizations to control and/or otherwise manage how such devices are used and/or what information they can access so as to protect the safety and security of enterprise information and other enterprise resources. In some instances, however, this may present technical challenges.

SUMMARY

Aspects of the disclosure provide technical solutions that may address and overcome one or more technical challenges associated with controlling and/or managing access to enterprise information and other enterprise resources by mobile devices and/or mobile applications.

In particular, one or more aspects of the disclosure provide ways of processing policy variance requests in an enterprise computing environment. For example, by implementing one or more aspects of the disclosure, an enterprise mobility management (EMM) system may add the ability for enterprise users to configure their own device-level and/or application-level policies (e.g., on top of enterprise-enforced policies) to increase the security of their device and/or particular applications. Additionally or alternatively, by implementing one or more aspects of the disclosure, the EMM system may add the ability for enterprise users to request on-the-fly policy exceptions, which may be subject to administrative approval, for certain device-level and/or application-level policies enforced by the enterprise organization. Some aspects of the disclosure further provide integration with data analytics services that may identify risk-prone users and/or risk-averse users based on requested policy variances, as well as feedback functions that may leverage machine learning to determine self-learned policies and/or suggested policy updates for an enterprise user group based on requested policy variances.

In accordance with one or more embodiments, a computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a first endpoint computing device, a request for a first policy variance. Based on receiving the request for the first policy variance, the computing platform may authenticate the first endpoint computing device based on enrollment information associated with the first endpoint computing device. In addition, the computing platform may validate contents of the request for the first policy variance. Subsequently, the computing platform may generate a policy variance result message based on approval or rejection of the request for the first policy variance. Then, the computing platform may send, via the communication interface, to the first endpoint computing device, the policy variance result message. In addition, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance.

In some embodiments, receiving the request for the first policy variance from the first endpoint computing device may include receiving a request for a policy exemption from the first endpoint computing device. In some embodiments, receiving the request for the first policy variance from the first endpoint computing device may include receiving a request for a new policy from the first endpoint computing device. In some embodiments, receiving the request for the first policy variance from the first endpoint computing device may include receiving a Hypertext Transfer Protocol (HTTP) PUT method request corresponding to a JavaScript Object Notation (JSON) object defining one or more details of the first policy variance.

In some embodiments, authenticating the first endpoint computing device based on the enrollment information associated with the first endpoint computing device may include authenticating the first endpoint computing device using one or more enterprise credentials linked to the first endpoint computing device. In addition, validating the contents of the request for the first policy variance may include un-packaging contents of the JSON object defining the one or more details of the first policy variance.

In some embodiments, based on authenticating the first endpoint computing device and validating the contents of the request for the first policy variance, the computing platform may generate an alert prompting an administrative user associated with an administrator computing device to approve or reject the request for the first policy variance. Subsequently, the computing platform may send the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance. Thereafter, the computing platform may receive a response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance. In addition, the policy variance result message may be generated based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance.

In some embodiments, generating the policy variance result message may include generating, based on one or more message templates maintained by the computing platform, a result message approving the request for the first policy variance in full, a result message approving the request for the first policy variance in part, or a result message denying the request for the first policy variance.

In some embodiments, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to implement the first policy variance. In some embodiments, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to implement a modified version of the first policy variance. In some embodiments, sending the policy variance result message to the first endpoint computing device may prevent the first endpoint computing device from implementing the first policy variance.

In some embodiments, after sending the policy variance result message to the first endpoint computing device, the computing platform may log policy variance information associated with the request for the first policy variance received from the first endpoint computing device. Subsequently, the computing platform may send the policy variance information to a device analytics service, and sending the policy variance information to the device analytics service may cause the device analytics service to update a user-specific score for the first endpoint computing device based on the policy variance information.

In some embodiments, the computing platform may generate at least one suggested policy action based on the policy variance information. Subsequently, the computing platform may send an alert prompting an administrative user associated with an administrator computing device to approve or reject the at least one suggested policy action. Thereafter, the computing platform may receive a response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action. Then, the computing platform may generate new baseline provisioning data based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action. Subsequently, the computing platform may send, via the communication interface, to the first endpoint computing device, the new baseline provisioning data, and sending the new baseline provisioning data to the first endpoint computing device may cause the first endpoint computing device to implement one or more policy updates associated with the at least one suggested policy action.

In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on a geographic region associated with a plurality of policy variances. In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on a user group membership associated with a plurality of policy variances. In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on a device platform associated with a plurality of policy variances. In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on a device manufacturer associated with a plurality of policy variances. In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on a device version associated with a plurality of policy variances. In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on an application usage factor associated with a plurality of policy variances.

These and additional aspects will be appreciated with the benefit of the disclosures discussed in further detail below.

BRIEF DESCRIPTION OF THE DRAWINGS

A more complete understanding of aspects described herein and the advantages thereof may be acquired by referring to the following description in consideration of the accompanying drawings, in which like reference numbers indicate like features, and wherein:

FIG. 1 depicts an illustrative computer system architecture that may be used in accordance with one or more illustrative aspects described herein.

FIG. 2 depicts an illustrative remote-access system architecture that may be used in accordance with one or more illustrative aspects described herein.

FIG. 3 depicts an illustrative virtualized (hypervisor) system architecture that may be used in accordance with one or more illustrative aspects described herein.

FIG. 4 depicts an illustrative cloud-based system architecture that may be used in accordance with one or more illustrative aspects described herein.

FIG. 5 depicts an illustrative enterprise mobility management system in accordance with one or more illustrative aspects described herein.

FIG. 6 depicts another illustrative enterprise mobility management system in accordance with one or more illustrative aspects described herein.

FIG. 7 depicts an illustrative computing environment for processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein.

FIGS. 8A-8G depict an example event sequence for processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein.

FIGS. 9 and 10 depict example graphical user interfaces for processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein.

FIG. 11 depicts an example method of processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein.

DETAILED DESCRIPTION

In the following description of the various embodiments, reference is made to the accompanying drawings identified above and which form a part hereof, and in which is shown by way of illustration various embodiments in which aspects described herein may be practiced. It is to be understood that other embodiments may be utilized and structural and functional modifications may be made without departing from the scope described herein. Various aspects are capable of other embodiments and of being practiced or being carried out in various different ways.

It is to be understood that the phraseology and terminology used herein are for the purpose of description and should not be regarded as limiting. Rather, the phrases and terms used herein are to be given their broadest interpretation and meaning. The use of “including” and “comprising” and variations thereof is meant to encompass the items listed thereafter and equivalents thereof as well as additional items and equivalents thereof. The use of the terms “mounted,” “connected,” “coupled,” “positioned,” “engaged” and similar terms, is meant to include both direct and indirect mounting, connecting, coupling, positioning and engaging.

As an introduction to subject matter described below, aspects of the disclosure relate to processing policy variance requests in an enterprise computing environment. In some enterprise computing environments, a Unified Endpoint Management (UEM) system may be deployed to manage enterprise-defined policies that may be imposed on specific devices, applications, and/or data associated with a given computing environment. The UEM system may provide centralized policy management, policy coordination, and/or policy enforcement functions, which may increase system security, integrity, and consistency, while also enabling convenient management for administrators and reduced consumption of network bandwidth and other computing resources. In some instances, however, technical problems may arise in the deployment of the UEM system from rigid enforcement of enterprise-defined policies, and the UEM system might not be flexible enough to accommodate requests for higher and/or lower levels of policy enforcement outside of what has been prescribed. One or more aspects of the disclosure address these and other technical problems by providing mechanisms that enable policy variances to be requested, evaluated, and implemented in real-time, thereby optimizing the user experience for enterprise users of endpoint devices and administrator users of administrative devices, while also optimizing the usage of and consumption of computing and network resources in an enterprise computing environment.

For example, in some instances, a computing platform may receive a request for a policy variance from an endpoint computing device. Based on authenticating the endpoint computing device and validating the contents of the request, the computing platform may generate an alert prompting an administrative user associated with an administrator computing device to approve or reject the request for the policy variance. Subsequently, the computing platform may send the alert and receive a response to the alert. Then, the computing platform may generate a policy variance result message based on the response to the alert and may send the policy variance result message to the endpoint computing device. By sending the policy variance result message to the endpoint computing device, the computing platform may cause the endpoint computing device to execute one or more policy actions.

Computing Architecture

Computer software, hardware, and networks may be utilized in a variety of different system environments, including standalone, networked, remote-access (also known as remote desktop), virtualized, and/or cloud-based environments, among others. FIG. 1 illustrates one example of a system architecture and data processing device that may be used to implement one or more illustrative aspects described herein in a standalone and/or networked environment. Various network nodes 103, 105, 107, and 109 may be interconnected via a wide area network (WAN) 101, such as the Internet. Other networks may also or alternatively be used, including private intranets, corporate networks, local area networks (LAN), metropolitan area networks (MAN), wireless networks, personal networks (PAN), and the like. Network 101 is for illustration purposes and may be replaced with fewer or additional computer networks. A local area network 133 may have one or more of any known LAN topology and may use one or more of a variety of different protocols, such as Ethernet. Devices 103, 105, 107, and 109 and other devices (not shown) may be connected to one or more of the networks via twisted pair wires, coaxial cable, fiber optics, radio waves, or other communication media.

The term “network” as used herein and depicted in the drawings refers not only to systems in which remote storage devices are coupled together via one or more communication paths, but also to stand-alone devices that may be coupled, from time to time, to such systems that have storage capability. Consequently, the term “network” includes not only a “physical network” but also a “content network,” which is comprised of the data—attributable to a single entity—which resides across all physical networks.

The components may include data server 103, web server 105, and client computers 107, 109. Data server 103 provides overall access, control and administration of databases and control software for performing one or more illustrative aspects describe herein. Data server 103 may be connected to web server 105 through which users interact with and obtain data as requested. Alternatively, data server 103 may act as a web server itself and be directly connected to the Internet. Data server 103 may be connected to web server 105 through the local area network 133, the wide area network 101 (e.g., the Internet), via direct or indirect connection, or via some other network. Users may interact with the data server 103 using remote computers 107, 109, e.g., using a web browser to connect to the data server 103 via one or more externally exposed web sites hosted by web server 105. Client computers 107, 109 may be used in concert with data server 103 to access data stored therein, or may be used for other purposes. For example, from client device 107 a user may access web server 105 using an Internet browser, as is known in the art, or by executing a software application that communicates with web server 105 and/or data server 103 over a computer network (such as the Internet).

Servers and applications may be combined on the same physical machines, and retain separate virtual or logical addresses, or may reside on separate physical machines. FIG. 1 illustrates just one example of a network architecture that may be used, and those of skill in the art will appreciate that the specific network architecture and data processing devices used may vary, and are secondary to the functionality that they provide, as further described herein. For example, services provided by web server 105 and data server 103 may be combined on a single server.

Each component 103, 105, 107, 109 may be any type of known computer, server, or data processing device. Data server 103, e.g., may include a processor 111 controlling overall operation of the data server 103. Data server 103 may further include random access memory (RAM) 113, read only memory (ROM) 115, network interface 117, input/output interfaces 119 (e.g., keyboard, mouse, display, printer, etc.), and memory 121. Input/output (I/O) 119 may include a variety of interface units and drives for reading, writing, displaying, and/or printing data or files. Memory 121 may further store operating system software 123 for controlling overall operation of the data processing device 103, control logic 125 for instructing data server 103 to perform aspects described herein, and other application software 127 providing secondary, support, and/or other functionality which may or might not be used in conjunction with aspects described herein. The control logic 125 may also be referred to herein as the data server software 125. Functionality of the data server software 125 may refer to operations or decisions made automatically based on rules coded into the control logic 125, made manually by a user providing input into the system, and/or a combination of automatic processing based on user input (e.g., queries, data updates, etc.).

Memory 121 may also store data used in performance of one or more aspects described herein, including a first database 129 and a second database 131. In some embodiments, the first database 129 may include the second database 131 (e.g., as a separate table, report, etc.). That is, the information can be stored in a single database, or separated into different logical, virtual, or physical databases, depending on system design. Devices 105, 107, and 109 may have similar or different architecture as described with respect to device 103. Those of skill in the art will appreciate that the functionality of data processing device 103 (or device 105, 107, or 109) as described herein may be spread across multiple data processing devices, for example, to distribute processing load across multiple computers, to segregate transactions based on geographic location, user access level, quality of service (QoS), etc.

One or more aspects may be embodied in computer-usable or readable data and/or computer-executable instructions, such as in one or more program modules, executed by one or more computers or other devices as described herein. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types when executed by a processor in a computer or other device. The modules may be written in a source code programming language that is subsequently compiled for execution, or may be written in a scripting language such as (but not limited to) HyperText Markup Language (HTML) or Extensible Markup Language (XML). The computer executable instructions may be stored on a computer readable medium such as a nonvolatile storage device. Any suitable computer readable storage media may be utilized, including hard disks, CD-ROMs, optical storage devices, magnetic storage devices, and/or any combination thereof. In addition, various transmission (non-storage) media representing data or events as described herein may be transferred between a source and a destination in the form of electromagnetic waves traveling through signal-conducting media such as metal wires, optical fibers, and/or wireless transmission media (e.g., air and/or space). Various aspects described herein may be embodied as a method, a data processing system, or a computer program product. Therefore, various functionalities may be embodied in whole or in part in software, firmware, and/or hardware or hardware equivalents such as integrated circuits, field programmable gate arrays (FPGA), and the like. Particular data structures may be used to more effectively implement one or more aspects described herein, and such data structures are contemplated within the scope of computer executable instructions and computer-usable data described herein.

With further reference to FIG. 2, one or more aspects described herein may be implemented in a remote-access environment. FIG. 2 depicts an example system architecture including a computing device 201 in an illustrative computing environment 200 that may be used according to one or more illustrative aspects described herein. Computing device 201 may be used as a server 206 a in a single-server or multi-server desktop virtualization system (e.g., a remote access or cloud system) and can be configured to provide virtual machines for client access devices. The computing device 201 may have a processor 203 for controlling overall operation of the device 201 and its associated components, including RAM 205, ROM 207, Input/Output (I/O) module 209, and memory 215.

I/O module 209 may include a mouse, keypad, touch screen, scanner, optical reader, and/or stylus (or other input device(s)) through which a user of computing device 201 may provide input, and may also include one or more of a speaker for providing audio output and one or more of a video display device for providing textual, audiovisual, and/or graphical output. Software may be stored within memory 215 and/or other storage to provide instructions to processor 203 for configuring computing device 201 into a special purpose computing device in order to perform various functions as described herein. For example, memory 215 may store software used by the computing device 201, such as an operating system 217, application programs 219, and an associated database 221.

Computing device 201 may operate in a networked environment supporting connections to one or more remote computers, such as terminals 240 (also referred to as client devices). The terminals 240 may be personal computers, mobile devices, laptop computers, tablets, or servers that include many or all of the elements described above with respect to the computing device 103 or 201. The network connections depicted in FIG. 2 include a local area network (LAN) 225 and a wide area network (WAN) 229, but may also include other networks. When used in a LAN networking environment, computing device 201 may be connected to the LAN 225 through a network interface or adapter 223. When used in a WAN networking environment, computing device 201 may include a modem or other wide area network interface 227 for establishing communications over the WAN 229, such as computer network 230 (e.g., the Internet). It will be appreciated that the network connections shown are illustrative and other means of establishing a communications link between the computers may be used. Computing device 201 and/or terminals 240 may also be mobile terminals (e.g., mobile phones, smartphones, personal digital assistants (PDAs), notebooks, etc.) including various other components, such as a battery, speaker, and antennas (not shown).

Aspects described herein may also be operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of other computing systems, environments, and/or configurations that may be suitable for use with aspects described herein include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network personal computers (PCs), minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

As shown in FIG. 2, one or more client devices 240 may be in communication with one or more servers 206 a-206 n (generally referred to herein as “server(s) 206”). In one embodiment, the computing environment 200 may include a network appliance installed between the server(s) 206 and client machine(s) 240. The network appliance may manage client/server connections, and in some cases can load balance client connections amongst a plurality of backend servers 206.

The client machine(s) 240 may in some embodiments be referred to as a single client machine 240 or a single group of client machines 240, while server(s) 206 may be referred to as a single server 206 or a single group of servers 206. In one embodiment a single client machine 240 communicates with more than one server 206, while in another embodiment a single server 206 communicates with more than one client machine 240. In yet another embodiment, a single client machine 240 communicates with a single server 206.

A client machine 240 can, in some embodiments, be referenced by any one of the following non-exhaustive terms: client machine(s); client(s); client computer(s); client device(s); client computing device(s); local machine; remote machine; client node(s); endpoint(s); or endpoint node(s). The server 206, in some embodiments, may be referenced by any one of the following non-exhaustive terms: server(s), local machine; remote machine; server farm(s), or host computing device(s).

In one embodiment, the client machine 240 may be a virtual machine. The virtual machine may be any virtual machine, while in some embodiments the virtual machine may be any virtual machine managed by a Type 1 or Type 2 hypervisor, for example, a hypervisor developed by Citrix Systems, IBM, VMware, or any other hypervisor. In some aspects, the virtual machine may be managed by a hypervisor, while in other aspects the virtual machine may be managed by a hypervisor executing on a server 206 or a hypervisor executing on a client 240.

Some embodiments include a client device 240 that displays application output generated by an application remotely executing on a server 206 or other remotely located machine. In these embodiments, the client device 240 may execute a virtual machine receiver program or application to display the output in an application window, a browser, or other output window. In one example, the application is a desktop, while in other examples the application is an application that generates or presents a desktop. A desktop may include a graphical shell providing a user interface for an instance of an operating system in which local and/or remote applications can be integrated. Applications, as used herein, are programs that execute after an instance of an operating system (and, optionally, also the desktop) has been loaded.

The server 206, in some embodiments, uses a remote presentation protocol or other program to send data to a thin-client or remote-display application executing on the client to present display output generated by an application executing on the server 206. The thin-client or remote-display protocol can be any one of the following non-exhaustive list of protocols: the Independent Computing Architecture (ICA) protocol developed by Citrix Systems, Inc. of Ft. Lauderdale, Fla.; or the Remote Desktop Protocol (RDP) manufactured by the Microsoft Corporation of Redmond, Wash.

A remote computing environment may include more than one server 206 a-206 n such that the servers 206 a-206 n are logically grouped together into a server farm 206, for example, in a cloud computing environment. The server farm 206 may include servers 206 that are geographically dispersed while logically grouped together, or servers 206 that are located proximate to each other while logically grouped together. Geographically dispersed servers 206 a-206 n within a server farm 206 can, in some embodiments, communicate using a WAN (wide), MAN (metropolitan), or LAN (local), where different geographic regions can be characterized as: different continents; different regions of a continent; different countries; different states; different cities; different campuses; different rooms; or any combination of the preceding geographical locations. In some embodiments the server farm 206 may be administered as a single entity, while in other embodiments the server farm 206 can include multiple server farms.

In some embodiments, a server farm may include servers 206 that execute a substantially similar type of operating system platform (e.g., WINDOWS, UNIX, LINUX, iOS, ANDROID, SYMBIAN, etc.) In other embodiments, server farm 206 may include a first group of one or more servers that execute a first type of operating system platform, and a second group of one or more servers that execute a second type of operating system platform.

Server 206 may be configured as any type of server, as needed, e.g., a file server, an application server, a web server, a proxy server, an appliance, a network appliance, a gateway, an application gateway, a gateway server, a virtualization server, a deployment server, a Secure Sockets Layer (SSL) VPN server, a firewall, a web server, an application server or as a master application server, a server executing an active directory, or a server executing an application acceleration program that provides firewall functionality, application functionality, or load balancing functionality. Other server types may also be used.

Some embodiments include a first server 206 a that receives requests from a client machine 240, forwards the request to a second server 206 b (not shown), and responds to the request generated by the client machine 240 with a response from the second server 206 b (not shown.) First server 206 a may acquire an enumeration of applications available to the client machine 240 as well as address information associated with an application server 206 hosting an application identified within the enumeration of applications. First server 206 a can then present a response to the client's request using a web interface, and communicate directly with the client 240 to provide the client 240 with access to an identified application. One or more clients 240 and/or one or more servers 206 may transmit data over network 230, e.g., network 101.

FIG. 3 shows a high-level architecture of an illustrative desktop virtualization system. As shown, the desktop virtualization system may be single-server or multi-server system, or cloud system, including at least one virtualization server 301 configured to provide virtual desktops and/or virtual applications to one or more client access devices 240. As used herein, a desktop refers to a graphical environment or space in which one or more applications may be hosted and/or executed. A desktop may include a graphical shell providing a user interface for an instance of an operating system in which local and/or remote applications can be integrated. Applications may include programs that execute after an instance of an operating system (and, optionally, also the desktop) has been loaded. Each instance of the operating system may be physical (e.g., one operating system per device) or virtual (e.g., many instances of an OS running on a single device). Each application may be executed on a local device, or executed on a remotely located device (e.g., remoted).

A computer device 301 may be configured as a virtualization server in a virtualization environment, for example, a single-server, multi-server, or cloud computing environment. Virtualization server 301 illustrated in FIG. 3 can be deployed as and/or implemented by one or more embodiments of the server 206 illustrated in FIG. 2 or by other known computing devices. Included in virtualization server 301 is a hardware layer that can include one or more physical disks 304, one or more physical devices 306, one or more physical processors 308, and one or more physical memories 316. In some embodiments, firmware 312 can be stored within a memory element in the physical memory 316 and can be executed by one or more of the physical processors 308. Virtualization server 301 may further include an operating system 314 that may be stored in a memory element in the physical memory 316 and executed by one or more of the physical processors 308. Still further, a hypervisor 302 may be stored in a memory element in the physical memory 316 and can be executed by one or more of the physical processors 308.

Executing on one or more of the physical processors 308 may be one or more virtual machines 332A-C (generally 332). Each virtual machine 332 may have a virtual disk 326A-C and a virtual processor 328A-C. In some embodiments, a first virtual machine 332A may execute, using a virtual processor 328A, a control program 320 that includes a tools stack 324. Control program 320 may be referred to as a control virtual machine, Dom0, Domain 0, or other virtual machine used for system administration and/or control. In some embodiments, one or more virtual machines 332B-C can execute, using a virtual processor 328B-C, a guest operating system 330A-B.

Virtualization server 301 may include a hardware layer 310 with one or more pieces of hardware that communicate with the virtualization server 301. In some embodiments, the hardware layer 310 can include one or more physical disks 304, one or more physical devices 306, one or more physical processors 308, and one or more physical memory 316. Physical components 304, 306, 308, and 316 may include, for example, any of the components described above. Physical devices 306 may include, for example, a network interface card, a video card, a keyboard, a mouse, an input device, a monitor, a display device, speakers, an optical drive, a storage device, a universal serial bus connection, a printer, a scanner, a network element (e.g., router, firewall, network address translator, load balancer, virtual private network (VPN) gateway, Dynamic Host Configuration Protocol (DHCP) router, etc.), or any device connected to or communicating with virtualization server 301. Physical memory 316 in the hardware layer 310 may include any type of memory. Physical memory 316 may store data, and in some embodiments may store one or more programs, or set of executable instructions. FIG. 3 illustrates an embodiment where firmware 312 is stored within the physical memory 316 of virtualization server 301. Programs or executable instructions stored in the physical memory 316 can be executed by the one or more processors 308 of virtualization server 301.

Virtualization server 301 may also include a hypervisor 302. In some embodiments, hypervisor 302 may be a program executed by processors 308 on virtualization server 301 to create and manage any number of virtual machines 332. Hypervisor 302 may be referred to as a virtual machine monitor, or platform virtualization software. In some embodiments, hypervisor 302 can be any combination of executable instructions and hardware that monitors virtual machines executing on a computing machine. Hypervisor 302 may be Type 2 hypervisor, where the hypervisor executes within an operating system 314 executing on the virtualization server 301. Virtual machines may then execute at a level above the hypervisor 302. In some embodiments, the Type 2 hypervisor may execute within the context of a user's operating system such that the Type 2 hypervisor interacts with the user's operating system. In other embodiments, one or more virtualization servers 301 in a virtualization environment may instead include a Type 1 hypervisor (not shown). A Type 1 hypervisor may execute on the virtualization server 301 by directly accessing the hardware and resources within the hardware layer 310. That is, while a Type 2 hypervisor 302 accesses system resources through a host operating system 314, as shown, a Type 1 hypervisor may directly access all system resources without the host operating system 314. A Type 1 hypervisor may execute directly on one or more physical processors 308 of virtualization server 301, and may include program data stored in the physical memory 316.

Hypervisor 302, in some embodiments, can provide virtual resources to operating systems 330 or control programs 320 executing on virtual machines 332 in any manner that simulates the operating systems 330 or control programs 320 having direct access to system resources. System resources can include, but are not limited to, physical devices 306, physical disks 304, physical processors 308, physical memory 316, and any other component included in hardware layer 310 of the virtualization server 301. Hypervisor 302 may be used to emulate virtual hardware, partition physical hardware, virtualize physical hardware, and/or execute virtual machines that provide access to computing environments. In still other embodiments, hypervisor 302 may control processor scheduling and memory partitioning for a virtual machine 332 executing on virtualization server 301. Hypervisor 302 may include those manufactured by VMWare, Inc., of Palo Alto, Calif.; the XENPROJECT hypervisor, an open source product whose development is overseen by the open source XenProject.org community; HyperV, VirtualServer or virtual PC hypervisors provided by Microsoft, or others. In some embodiments, virtualization server 301 may execute a hypervisor 302 that creates a virtual machine platform on which guest operating systems may execute. In these embodiments, the virtualization server 301 may be referred to as a host server. An example of such a virtualization server is the XENSERVER provided by Citrix Systems, Inc., of Fort Lauderdale, Fla.

Hypervisor 302 may create one or more virtual machines 332B-C (generally 332) in which guest operating systems 330 execute. In some embodiments, hypervisor 302 may load a virtual machine image to create a virtual machine 332. In other embodiments, the hypervisor 302 may execute a guest operating system 330 within virtual machine 332. In still other embodiments, virtual machine 332 may execute guest operating system 330.

In addition to creating virtual machines 332, hypervisor 302 may control the execution of at least one virtual machine 332. In other embodiments, hypervisor 302 may present at least one virtual machine 332 with an abstraction of at least one hardware resource provided by the virtualization server 301 (e.g., any hardware resource available within the hardware layer 310). In other embodiments, hypervisor 302 may control the manner in which virtual machines 332 access physical processors 308 available in virtualization server 301. Controlling access to physical processors 308 may include determining whether a virtual machine 332 should have access to a processor 308, and how physical processor capabilities are presented to the virtual machine 332.

As shown in FIG. 3, virtualization server 301 may host or execute one or more virtual machines 332. A virtual machine 332 is a set of executable instructions that, when executed by a processor 308, may imitate the operation of a physical computer such that the virtual machine 332 can execute programs and processes much like a physical computing device. While FIG. 3 illustrates an embodiment where a virtualization server 301 hosts three virtual machines 332, in other embodiments virtualization server 301 can host any number of virtual machines 332. Hypervisor 302, in some embodiments, may provide each virtual machine 332 with a unique virtual view of the physical hardware, memory, processor, and other system resources available to that virtual machine 332. In some embodiments, the unique virtual view can be based on one or more of virtual machine permissions, application of a policy engine to one or more virtual machine identifiers, a user accessing a virtual machine, the applications executing on a virtual machine, networks accessed by a virtual machine, or any other desired criteria. For instance, hypervisor 302 may create one or more unsecure virtual machines 332 and one or more secure virtual machines 332. Unsecure virtual machines 332 may be prevented from accessing resources, hardware, memory locations, and programs that secure virtual machines 332 may be permitted to access. In other embodiments, hypervisor 302 may provide each virtual machine 332 with a substantially similar virtual view of the physical hardware, memory, processor, and other system resources available to the virtual machines 332.

Each virtual machine 332 may include a virtual disk 326A-C (generally 326) and a virtual processor 328A-C (generally 328.) The virtual disk 326, in some embodiments, is a virtualized view of one or more physical disks 304 of the virtualization server 301, or a portion of one or more physical disks 304 of the virtualization server 301. The virtualized view of the physical disks 304 can be generated, provided, and managed by the hypervisor 302. In some embodiments, hypervisor 302 provides each virtual machine 332 with a unique view of the physical disks 304. Thus, in these embodiments, the particular virtual disk 326 included in each virtual machine 332 can be unique when compared with the other virtual disks 326.

A virtual processor 328 can be a virtualized view of one or more physical processors 308 of the virtualization server 301. In some embodiments, the virtualized view of the physical processors 308 can be generated, provided, and managed by hypervisor 302. In some embodiments, virtual processor 328 has substantially all of the same characteristics of at least one physical processor 308. In other embodiments, virtual processor 308 provides a modified view of physical processors 308 such that at least some of the characteristics of the virtual processor 328 are different than the characteristics of the corresponding physical processor 308.

With further reference to FIG. 4, some aspects described herein may be implemented in a cloud-based environment. FIG. 4 illustrates an example of a cloud computing environment (or cloud system) 400. As seen in FIG. 4, client computers 411-414 may communicate with a cloud management server 410 to access the computing resources (e.g., host servers 403 a-403 b (generally referred herein as “host servers 403”), storage resources 404 a-404 b (generally referred herein as “storage resources 404”), and network elements 405 a-405 b (generally referred herein as “network resources 405”)) of the cloud system.

Management server 410 may be implemented on one or more physical servers. The management server 410 may run, for example, CLOUDPLATFORM by Citrix Systems, Inc. of Ft. Lauderdale, Fla., or OPENSTACK, among others. Management server 410 may manage various computing resources, including cloud hardware and software resources, for example, host computers 403, data storage devices 404, and networking devices 405. The cloud hardware and software resources may include private and/or public components. For example, a cloud may be configured as a private cloud to be used by one or more particular customers or client computers 411-414 and/or over a private network. In other embodiments, public clouds or hybrid public-private clouds may be used by other customers over an open or hybrid networks.

Management server 410 may be configured to provide user interfaces through which cloud operators and cloud customers may interact with the cloud system 400. For example, the management server 410 may provide a set of application programming interfaces (APIs) and/or one or more cloud operator console applications (e.g., web-based or standalone applications) with user interfaces to allow cloud operators to manage the cloud resources, configure the virtualization layer, manage customer accounts, and perform other cloud administration tasks. The management server 410 also may include a set of APIs and/or one or more customer console applications with user interfaces configured to receive cloud computing requests from end users via client computers 411-414, for example, requests to create, modify, or destroy virtual machines within the cloud. Client computers 411-414 may connect to management server 410 via the Internet or some other communication network, and may request access to one or more of the computing resources managed by management server 410. In response to client requests, the management server 410 may include a resource manager configured to select and provision physical resources in the hardware layer of the cloud system based on the client requests. For example, the management server 410 and additional components of the cloud system may be configured to provision, create, and manage virtual machines and their operating environments (e.g., hypervisors, storage resources, services offered by the network elements, etc.) for customers at client computers 411-414, over a network (e.g., the Internet), providing customers with computational resources, data storage services, networking capabilities, and computer platform and application support. Cloud systems also may be configured to provide various specific services, including security systems, development environments, user interfaces, and the like.

Certain clients 411-414 may be related, for example, to different client computers creating virtual machines on behalf of the same end user, or different users affiliated with the same company or organization. In other examples, certain clients 411-414 may be unrelated, such as users affiliated with different companies or organizations. For unrelated clients, information on the virtual machines or storage of any one user may be hidden from other users.

Referring now to the physical hardware layer of a cloud computing environment, availability zones 401-402 (or zones) may refer to a collocated set of physical computing resources. Zones may be geographically separated from other zones in the overall cloud of computing resources. For example, zone 401 may be a first cloud datacenter located in California, and zone 402 may be a second cloud datacenter located in Florida. Management server 410 may be located at one of the availability zones, or at a separate location. Each zone may include an internal network that interfaces with devices that are outside of the zone, such as the management server 410, through a gateway. End users of the cloud (e.g., clients 411-414) might or might not be aware of the distinctions between zones. For example, an end user may request the creation of a virtual machine having a specified amount of memory, processing power, and network capabilities. The management server 410 may respond to the user's request and may allocate the resources to create the virtual machine without the user knowing whether the virtual machine was created using resources from zone 401 or zone 402. In other examples, the cloud system may allow end users to request that virtual machines (or other cloud resources) are allocated in a specific zone or on specific resources 403-405 within a zone.

In this example, each zone 401-402 may include an arrangement of various physical hardware components (or computing resources) 403-405, for example, physical hosting resources (or processing resources), physical network resources, physical storage resources, switches, and additional hardware resources that may be used to provide cloud computing services to customers. The physical hosting resources in a cloud zone 401-402 may include one or more computer servers 403, such as the virtualization servers 301 described above, which may be configured to create and host virtual machine instances. The physical network resources in a cloud zone 401 or 402 may include one or more network elements 405 (e.g., network service providers) comprising hardware and/or software configured to provide a network service to cloud customers, such as firewalls, network address translators, load balancers, virtual private network (VPN) gateways, Dynamic Host Configuration Protocol (DHCP) routers, and the like. The storage resources in the cloud zone 401-402 may include storage disks (e.g., solid state drives (SSDs), magnetic hard disks, etc.) and other storage devices.

The example cloud computing environment shown in FIG. 4 also may include a virtualization layer (e.g., as shown in FIGS. 1-3) with additional hardware and/or software resources configured to create and manage virtual machines and provide other services to customers using the physical resources in the cloud. The virtualization layer may include hypervisors, as described above in FIG. 3, along with other components to provide network virtualizations, storage virtualizations, etc. The virtualization layer may be as a separate layer from the physical resource layer, or may share some or all of the same hardware and/or software resources with the physical resource layer. For example, the virtualization layer may include a hypervisor installed in each of the virtualization servers 403 with the physical computing resources. Known cloud systems may alternatively be used, e.g., WINDOWS AZURE (Microsoft Corporation of Redmond Wash.), AMAZON EC2 (Amazon.com Inc. of Seattle, Wash.), IBM BLUE CLOUD (IBM Corporation of Armonk, N.Y.), or others.

Enterprise Mobility Management Architecture

FIG. 5 represents an enterprise mobility technical architecture 500 for use in a “Bring Your Own Device” (BYOD) environment. The architecture enables a user of a mobile device 502 to both access enterprise or personal resources from a mobile device 502 and use the mobile device 502 for personal use. The user may access such enterprise resources 504 or enterprise services 508 using a mobile device 502 that is purchased by the user or a mobile device 502 that is provided by the enterprise to the user. The user may utilize the mobile device 502 for business use only or for business and personal use. The mobile device 502 may run an iOS operating system, an Android operating system, or the like. The enterprise may choose to implement policies to manage the mobile device 502. The policies may be implemented through a firewall or gateway in such a way that the mobile device 502 may be identified, secured or security verified, and provided selective or full access to the enterprise resources (e.g., 504 and 508.) The policies may be mobile device management policies, mobile application management policies, mobile data management policies, or some combination of mobile device, application, and data management policies. A mobile device 502 that is managed through the application of mobile device management policies may be referred to as an enrolled device.

In some embodiments, the operating system of the mobile device 502 may be separated into a managed partition 510 and an unmanaged partition 512. The managed partition 510 may have policies applied to it to secure the applications running on and data stored in the managed partition 510. The applications running on the managed partition 510 may be secure applications. In other embodiments, all applications may execute in accordance with a set of one or more policy files received separate from the application, and which define one or more security parameters, features, resource restrictions, and/or other access controls that are enforced by the mobile device management system when that application is executing on the mobile device 502. By operating in accordance with their respective policy file(s), each application may be allowed or restricted from communications with one or more other applications and/or resources, thereby creating a virtual partition. Thus, as used herein, a partition may refer to a physically partitioned portion of memory (physical partition), a logically partitioned portion of memory (logical partition), and/or a virtual partition created as a result of enforcement of one or more policies and/or policy files across multiple applications as described herein (virtual partition). Stated differently, by enforcing policies on managed applications, those applications may be restricted to only be able to communicate with other managed applications and trusted enterprise resources, thereby creating a virtual partition that is not accessible by unmanaged applications and devices.

The secure applications may be email applications, web browsing applications, software-as-a-service (SaaS) access applications, Windows Application access applications, and the like. The secure applications may be secure native applications 514, secure remote applications 522 executed by a secure application launcher 518, virtualization applications 526 executed by a secure application launcher 518, and the like. The secure native applications 514 may be wrapped by a secure application wrapper 520. The secure application wrapper 520 may include integrated policies that are executed on the mobile device 502 when the secure native application 514 is executed on the mobile device 502. The secure application wrapper 520 may include meta-data that points the secure native application 514 running on the mobile device 502 to the resources hosted at the enterprise (e.g., 504 and 508) that the secure native application 514 may require to complete the task requested upon execution of the secure native application 514. The secure remote applications 522 executed by a secure application launcher 518 may be executed within the secure application launcher 518. The virtualization applications 526 executed by a secure application launcher 518 may utilize resources on the mobile device 502, at the enterprise resources 504, and the like. The resources used on the mobile device 502 by the virtualization applications 526 executed by a secure application launcher 518 may include user interaction resources, processing resources, and the like. The user interaction resources may be used to collect and transmit keyboard input, mouse input, camera input, tactile input, audio input, visual input, gesture input, and the like. The processing resources may be used to present a user interface, process data received from the enterprise resources 504, and the like. The resources used at the enterprise resources 504 by the virtualization applications 526 executed by a secure application launcher 518 may include user interface generation resources, processing resources, and the like. The user interface generation resources may be used to assemble a user interface, modify a user interface, refresh a user interface, and the like. The processing resources may be used to create information, read information, update information, delete information, and the like. For example, the virtualization application 526 may record user interactions associated with a graphical user interface (GUI) and communicate them to a server application where the server application will use the user interaction data as an input to the application operating on the server. In such an arrangement, an enterprise may elect to maintain the application on the server side as well as data, files, etc. associated with the application. While an enterprise may elect to “mobilize” some applications in accordance with the principles herein by securing them for deployment on the mobile device 502, this arrangement may also be elected for certain applications. For example, while some applications may be secured for use on the mobile device 502, others might not be prepared or appropriate for deployment on the mobile device 502 so the enterprise may elect to provide the mobile user access to the unprepared applications through virtualization techniques. As another example, the enterprise may have large complex applications with large and complex data sets (e.g., material resource planning applications) where it would be very difficult, or otherwise undesirable, to customize the application for the mobile device 502 so the enterprise may elect to provide access to the application through virtualization techniques. As yet another example, the enterprise may have an application that maintains highly secured data (e.g., human resources data, customer data, engineering data) that may be deemed by the enterprise as too sensitive for even the secured mobile environment so the enterprise may elect to use virtualization techniques to permit mobile access to such applications and data. An enterprise may elect to provide both fully secured and fully functional applications on the mobile device 502 as well as a virtualization application 526 to allow access to applications that are deemed more properly operated on the server side. In an embodiment, the virtualization application 526 may store some data, files, etc. on the mobile device 502 in one of the secure storage locations. An enterprise, for example, may elect to allow certain information to be stored on the mobile device 502 while not permitting other information.

In connection with the virtualization application 526, as described herein, the mobile device 502 may have a virtualization application 526 that is designed to present GUIs and then record user interactions with the GUI. The virtualization application 526 may communicate the user interactions to the server side to be used by the server side application as user interactions with the application. In response, the application on the server side may transmit back to the mobile device 502 a new GUI. For example, the new GUI may be a static page, a dynamic page, an animation, or the like, thereby providing access to remotely located resources.

The secure applications 514 may access data stored in a secure data container 528 in the managed partition 510 of the mobile device 502. The data secured in the secure data container may be accessed by the secure native applications 514, secure remote applications 522 executed by a secure application launcher 518, virtualization applications 526 executed by a secure application launcher 518, and the like. The data stored in the secure data container 528 may include files, databases, and the like. The data stored in the secure data container 528 may include data restricted to a specific secure application 530, shared among secure applications 532, and the like. Data restricted to a secure application may include secure general data 534 and highly secure data 538. Secure general data may use a strong form of encryption such as Advanced Encryption Standard (AES) 128-bit encryption or the like, while highly secure data 538 may use a very strong form of encryption such as AES 256-bit encryption. Data stored in the secure data container 528 may be deleted from the mobile device 502 upon receipt of a command from the device manager 524. The secure applications (e.g., 514, 522, and 526) may have a dual-mode option 540. The dual mode option 540 may present the user with an option to operate the secured application in an unsecured or unmanaged mode. In an unsecured or unmanaged mode, the secure applications may access data stored in an unsecured data container 542 on the unmanaged partition 512 of the mobile device 502. The data stored in an unsecured data container may be personal data 544. The data stored in an unsecured data container 542 may also be accessed by unsecured applications 546 that are running on the unmanaged partition 512 of the mobile device 502. The data stored in an unsecured data container 542 may remain on the mobile device 502 when the data stored in the secure data container 528 is deleted from the mobile device 502. An enterprise may want to delete from the mobile device 502 selected or all data, files, and/or applications owned, licensed or controlled by the enterprise (enterprise data) while leaving or otherwise preserving personal data, files, and/or applications owned, licensed or controlled by the user (personal data). This operation may be referred to as a selective wipe. With the enterprise and personal data arranged in accordance to the aspects described herein, an enterprise may perform a selective wipe.

The mobile device 502 may connect to enterprise resources 504 and enterprise services 508 at an enterprise, to the public Internet 548, and the like. The mobile device 502 may connect to enterprise resources 504 and enterprise services 508 through virtual private network connections. The virtual private network connections, also referred to as microVPN or application-specific VPN, may be specific to particular applications (as illustrated by microVPNs 550, particular devices, particular secured areas on the mobile device (as illustrated by O/S VPN 552), and the like. For example, each of the wrapped applications in the secured area of the mobile device 502 may access enterprise resources through an application specific VPN such that access to the VPN would be granted based on attributes associated with the application, possibly in conjunction with user or device attribute information. The virtual private network connections may carry Microsoft Exchange traffic, Microsoft Active Directory traffic, HyperText Transfer Protocol (HTTP) traffic, HyperText Transfer Protocol Secure (HTTPS) traffic, application management traffic, and the like. The virtual private network connections may support and enable single-sign-on authentication processes 554. The single-sign-on processes may allow a user to provide a single set of authentication credentials, which are then verified by an authentication service 558. The authentication service 558 may then grant to the user access to multiple enterprise resources 504, without requiring the user to provide authentication credentials to each individual enterprise resource 504.

The virtual private network connections may be established and managed by an access gateway 560. The access gateway 560 may include performance enhancement features that manage, accelerate, and improve the delivery of enterprise resources 504 to the mobile device 502. The access gateway 560 may also re-route traffic from the mobile device 502 to the public Internet 548, enabling the mobile device 502 to access publicly available and unsecured applications that run on the public Internet 548. The mobile device 502 may connect to the access gateway 560 via a transport network 562. The transport network 562 may use one or more transport protocols and may be a wired network, wireless network, cloud network, local area network, metropolitan area network, wide area network, public network, private network, and the like.

The enterprise resources 504 may include email servers, file sharing servers, SaaS applications, Web application servers, Windows application servers, and the like. Email servers may include Exchange servers, Lotus Notes servers, and the like. File sharing servers may include ShareFile servers, and the like. SaaS applications may include Salesforce, and the like. Windows application servers may include any application server that is built to provide applications that are intended to run on a local Windows operating system, and the like. The enterprise resources 504 may be premise-based resources, cloud-based resources, and the like. The enterprise resources 504 may be accessed by the mobile device 502 directly or through the access gateway 560. The enterprise resources 504 may be accessed by the mobile device 502 via the transport network 562.

The enterprise services 508 may include authentication services 558, threat detection services 564, device manager services 524, file sharing services 568, policy manager services 570, social integration services 572, application controller services 574, and the like. Authentication services 558 may include user authentication services, device authentication services, application authentication services, data authentication services, and the like. Authentication services 558 may use certificates. The certificates may be stored on the mobile device 502, by the enterprise resources 504, and the like. The certificates stored on the mobile device 502 may be stored in an encrypted location on the mobile device 502, the certificate may be temporarily stored on the mobile device 502 for use at the time of authentication, and the like. Threat detection services 564 may include intrusion detection services, unauthorized access attempt detection services, and the like. Unauthorized access attempt detection services may include unauthorized attempts to access devices, applications, data, and the like. Device management services 524 may include configuration, provisioning, security, support, monitoring, reporting, and decommissioning services. File sharing services 568 may include file management services, file storage services, file collaboration services, and the like. Policy manager services 570 may include device policy manager services, application policy manager services, data policy manager services, and the like. Social integration services 572 may include contact integration services, collaboration services, integration with social networks such as Facebook, Twitter, and LinkedIn, and the like. Application controller services 574 may include management services, provisioning services, deployment services, assignment services, revocation services, wrapping services, and the like.

The enterprise mobility technical architecture 500 may include an application store 578. The application store 578 may include unwrapped applications 580, pre-wrapped applications 582, and the like. Applications may be populated in the application store 578 from the application controller 574. The application store 578 may be accessed by the mobile device 502 through the access gateway 560, through the public Internet 548, or the like. The application store 578 may be provided with an intuitive and easy to use user interface.

A software development kit 584 may provide a user the capability to secure applications selected by the user by wrapping the application as described previously in this description. An application that has been wrapped using the software development kit 584 may then be made available to the mobile device 502 by populating it in the application store 578 using the application controller 574.

The enterprise mobility technical architecture 500 may include a management and analytics capability 588. The management and analytics capability 588 may provide information related to how resources are used, how often resources are used, and the like. Resources may include devices, applications, data, and the like. How resources are used may include which devices download which applications, which applications access which data, and the like. How often resources are used may include how often an application has been downloaded, how many times a specific set of data has been accessed by an application, and the like.

FIG. 6 is another illustrative enterprise mobility management system 600. Some of the components of the mobility management system 500 described above with reference to FIG. 5 have been omitted for the sake of simplicity. The architecture of the system 600 depicted in FIG. 6 is similar in many respects to the architecture of the system 500 described above with reference to FIG. 5 and may include additional features not mentioned above.

In this case, the left hand side represents an enrolled mobile device 602 with a client agent 604, which interacts with gateway server 606 (which includes Access Gateway and application controller functionality) to access various enterprise resources 608 and services 609 such as Exchange, Sharepoint, public-key infrastructure (PM) Resources, Kerberos Resources, Certificate Issuance service, as shown on the right hand side above. Although not specifically shown, the mobile device 602 may also interact with an enterprise application store (StoreFront) for the selection and downloading of applications.

The client agent 604 acts as the UI (user interface) intermediary for Windows apps/desktops hosted in an Enterprise data center, which are accessed using the High-Definition User Experience (HDX)/ICA display remoting protocol. The client agent 604 also supports the installation and management of native applications on the mobile device 602, such as native iOS or Android applications. For example, the managed applications 610 (mail, browser, wrapped application) shown in the figure above are all native applications that execute locally on the mobile device 602. Client agent 604 and application management framework of this architecture act to provide policy driven management capabilities and features such as connectivity and SSO (single sign on) to enterprise resources/services 608. The client agent 604 handles primary user authentication to the enterprise, normally to Access Gateway (AG) 606 with SSO to other gateway server components. The client agent 604 obtains policies from gateway server 606 to control the behavior of the managed applications 610 on the mobile device 602.

The Secure InterProcess Communication (IPC) links 612 between the native applications 610 and client agent 604 represent a management channel, which may allow a client agent to supply policies to be enforced by the application management framework 614 “wrapping” each application. The IPC channel 612 may also allow client agent 604 to supply credential and authentication information that enables connectivity and SSO to enterprise resources 608. Finally, the IPC channel 612 may allow the application management framework 614 to invoke user interface functions implemented by client agent 604, such as online and offline authentication.

Communications between the client agent 604 and gateway server 606 are essentially an extension of the management channel from the application management framework 614 wrapping each native managed application 610. The application management framework 614 may request policy information from client agent 604, which in turn may request it from gateway server 606. The application management framework 614 may request authentication, and client agent 604 may log into the gateway services part of gateway server 606 (also known as NETSCALER ACCESS GATEWAY). Client agent 604 may also call supporting services on gateway server 606, which may produce input material to derive encryption keys for the local data vaults 616, or may provide client certificates which may enable direct authentication to PM protected resources, as more fully explained below.

In more detail, the application management framework 614 “wraps” each managed application 610. This may be incorporated via an explicit build step, or via a post-build processing step. The application management framework 614 may “pair” with client agent 604 on first launch of an application 610 to initialize the Secure IPC channel 612 and obtain the policy for that application. The application management framework 614 may enforce relevant portions of the policy that apply locally, such as the client agent login dependencies and some of the containment policies that restrict how local OS services may be used, or how they may interact with the managed application 610.

The application management framework 614 may use services provided by client agent 604 over the Secure IPC channel 612 to facilitate authentication and internal network access. Key management for the private and shared data vaults 616 (containers) may be also managed by appropriate interactions between the managed applications 610 and client agent 604. Vaults 616 may be available only after online authentication, or may be made available after offline authentication if allowed by policy. First use of vaults 616 may require online authentication, and offline access may be limited to at most the policy refresh period before online authentication is again required.

Network access to internal resources may occur directly from individual managed applications 610 through Access Gateway 606. The application management framework 614 may be responsible for orchestrating the network access on behalf of each managed application 610. Client agent 604 may facilitate these network connections by providing suitable time limited secondary credentials obtained following online authentication. Multiple modes of network connection may be used, such as reverse web proxy connections and end-to-end VPN-style tunnels 618.

The Mail and Browser managed applications 610 have special status and may make use of facilities that might not be generally available to arbitrary wrapped applications. For example, the Mail application 610 may use a special background network access mechanism that allows it to access an Exchange server 608 over an extended period of time without requiring a full AG logon. The Browser application 610 may use multiple private data vaults 616 to segregate different kinds of data.

This architecture may support the incorporation of various other security features. For example, gateway server 606 (including its gateway services) in some cases may not need to validate active directory (AD) passwords. It can be left to the discretion of an enterprise whether an AD password may be used as an authentication factor for some users in some situations. Different authentication methods may be used if a user is online or offline (i.e., connected or not connected to a network).

Step up authentication is a feature wherein gateway server 606 may identify managed native applications 610 that are allowed to have access to highly classified data requiring strong authentication, and ensure that access to these applications is only permitted after performing appropriate authentication, even if this means a re-authentication is required by the user after a prior weaker level of login.

Another security feature of this solution is the encryption of the data vaults 616 (containers) on the mobile device 602. The vaults 616 may be encrypted so that all on-device data including files, databases, and configurations are protected. For on-line vaults, the keys may be stored on the server (gateway server 606), and for off-line vaults, a local copy of the keys may be protected by a user password or biometric validation. If or when data is stored locally on the mobile device 602 in the secure container 616, it may be preferred that a minimum of AES 256 encryption algorithm be utilized.

Other secure container features may also be implemented. For example, a logging feature may be included, wherein security events happening inside a managed application 610 may be logged and reported to the backend. Data wiping may be supported, such as if or when the managed application 610 detects tampering, associated encryption keys may be written over with random data, leaving no hint on the file system that user data was destroyed. Screenshot protection may be another feature, where an application may prevent any data from being stored in screenshots. For example, the key window's hidden property may be set to YES. This may cause whatever content is currently displayed on the screen to be hidden, resulting in a blank screenshot where any content would normally reside.

Local data transfer may be prevented, such as by preventing any data from being locally transferred outside the application container, e.g., by copying it or sending it to an external application. A keyboard cache feature may operate to disable the autocorrect functionality for sensitive text fields. SSL certificate validation may be operable so the application specifically validates the server SSL certificate instead of it being stored in the keychain. An encryption key generation feature may be used such that the key used to encrypt data on the mobile device 602 is generated using a passphrase or biometric data supplied by the user (if offline access is required). It may be XORed with another key randomly generated and stored on the server side if offline access is not required. Key Derivation functions may operate such that keys generated from the user password use KDFs (key derivation functions, notably Password-Based Key Derivation Function 2 (PBKDF2)) rather than creating a cryptographic hash of it. The latter makes a key susceptible to brute force or dictionary attacks.

Further, one or more initialization vectors may be used in encryption methods. An initialization vector will cause multiple copies of the same encrypted data to yield different cipher text output, preventing both replay and cryptanalytic attacks. This will also prevent an attacker from decrypting any data even with a stolen encryption key. Further, authentication then decryption may be used, wherein application data is decrypted only after the user has authenticated within the application. Another feature may relate to sensitive data in memory, which may be kept in memory (and not in disk) only when it is needed. For example, login credentials may be wiped from memory after login, and encryption keys and other data inside objective-C instance variables are not stored, as they may be easily referenced. Instead, memory may be manually allocated for these.

An inactivity timeout may be implemented, wherein after a policy-defined period of inactivity, a user session is terminated.

Data leakage from the application management framework 614 may be prevented in other ways. For example, if or when a managed application 610 is put in the background, the memory may be cleared after a predetermined (configurable) time period. When backgrounded, a snapshot may be taken of the last displayed screen of the application to fasten the foregrounding process. The screenshot may contain confidential data and hence should be cleared.

Another security feature may relate to the use of an OTP (one time password) 620 without the use of an AD (active directory) 622 password for access to one or more applications. In some cases, some users do not know (or are not permitted to know) their AD password, so these users may authenticate using an OTP 620 such as by using a hardware OTP system like SecurID (OTPs may be provided by different vendors also, such as Entrust or Gemalto). In some cases, after a user authenticates with a user ID, a text may be sent to the user with an OTP 620. In some cases, this may be implemented only for online use, with a prompt being a single field.

An offline password may be implemented for offline authentication for those managed applications 610 for which offline use is permitted via enterprise policy. For example, an enterprise may want StoreFront to be accessed in this manner. In this case, the client agent 604 may require the user to set a custom offline password and the AD password is not used. Gateway server 606 may provide policies to control and enforce password standards with respect to the minimum length, character class composition, and age of passwords, such as described by the standard Windows Server password complexity requirements, although these requirements may be modified.

Another feature may relate to the enablement of a client side certificate for certain applications 610 as secondary credentials (for the purpose of accessing PM protected web resources via the application management framework micro VPN feature). For example, a managed application 610 may utilize such a certificate. In this case, certificate-based authentication using ActiveSync protocol may be supported, wherein a certificate from the client agent 604 may be retrieved by gateway server 606 and used in a keychain. Each managed application 610 may have one associated client certificate, identified by a label that is defined in gateway server 606.

Gateway server 606 may interact with an enterprise special purpose web service to support the issuance of client certificates to allow relevant managed applications to authenticate to internal PM protected resources.

The client agent 604 and the application management framework 614 may be enhanced to support obtaining and using client certificates for authentication to internal PM protected network resources. More than one certificate may be supported, such as to match various levels of security and/or separation requirements. The certificates may be used by the Mail and Browser managed applications 610, and ultimately by arbitrary wrapped applications 610 (provided those applications use web service style communication patterns where it is reasonable for the application management framework to mediate HTTPS requests).

Application management client certificate support on iOS may rely on importing a public-key cryptography standards (PKCS) 12 BLOB (Binary Large Object) into the iOS keychain in each managed application 610 for each period of use. Application management framework client certificate support may use a HTTPS implementation with private in-memory key storage. The client certificate may not be present in the iOS keychain and may not be persisted except potentially in “online-only” data value that is strongly protected.

Mutual SSL or TLS may also be implemented to provide additional security by requiring that a mobile device 602 is authenticated to the enterprise, and vice versa. Virtual smart cards for authentication to gateway server 606 may also be implemented.

Both limited and full Kerberos support may be additional features. The full support feature relates to an ability to do full Kerberos login to Active Directory (AD) 622, using an AD password or trusted client certificate, and obtain Kerberos service tickets to respond to HTTP Negotiate authentication challenges. The limited support feature relates to constrained delegation in Citrix Access Gateway Enterprise Edition (AGEE), where AGEE supports invoking Kerberos protocol transition so it can obtain and use Kerberos service tickets (subject to constrained delegation) in response to HTTP Negotiate authentication challenges. This mechanism works in reverse web proxy (aka corporate virtual private network (CVPN)) mode, and when HTTP (but not HTTPS) connections are proxied in VPN and MicroVPN mode.

Another feature may relate to application container locking and wiping, which may automatically occur upon jail-break or rooting detections, and occur as a pushed command from administration console, and may include a remote wipe functionality even when a managed application 610 is not running.

A multi-site architecture or configuration of enterprise application store and an application controller may be supported that allows users to be serviced from one of several different locations in case of failure.

In some cases, managed applications 610 may be allowed to access a certificate and private key via an API (for example, OpenSSL). Trusted managed applications 610 of an enterprise may be allowed to perform specific Public Key operations with an application's client certificate and private key. Various use cases may be identified and treated accordingly, such as if or when an application behaves like a browser and no certificate access is required, if or when an application reads a certificate for “who am I,” if or when an application uses the certificate to build a secure session token, and if or when an application uses private keys for digital signing of important data (e.g. transaction log) or for temporary data encryption.

Processing Policy Variance Requests in an Enterprise Computing Environment

FIG. 7 depicts an illustrative computing environment for processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein. Referring to FIG. 7, computing environment 700 may include an endpoint management computing platform 710, a first endpoint computing device 720, a second endpoint computing device 730, an administrator computing device 740, and a network 750. Endpoint management computing platform 710, endpoint computing device 720, endpoint computing device 730, and administrator computing device 740 may include one or more physical components, such as one or more processors, memories, communication interfaces, and/or the like. In some instances, endpoint computing device 720, endpoint computing device 730, and/or administrator computing device 740 may include, incorporate, and/or implement one or more aspects of the client devices, mobile devices, and/or user devices discussed above. Endpoint management computing platform 710 may include, incorporate, and/or implement one or more aspects of the enterprise systems and/or management servers discussed above. Additionally or alternatively, endpoint management computing platform 710 may include, incorporate, and/or implement one or more aspects of the virtualization servers and/or other virtualization infrastructure discussed above and/or may communicate with one or more enterprise systems that include, incorporate, and/or implement one or more aspects of the virtualization servers and/or other virtualization infrastructure discussed above.

For example, endpoint management computing platform 710 may include at least one processor 711, at least one memory 712, and at least one communication interface 714. Processor 711 may execute instructions stored in memory 712 that cause endpoint management computing platform 710 to perform one or more functions, such as creating and managing enrollment data, policy data, and/or other enterprise data for various user devices (e.g., endpoint computing device 720, endpoint computing device 730), receiving and processing policy variance requests, and/or performing other functions, as described in greater detail below. Memory 712 may store at least one endpoint management module 713, which may include instructions that enable endpoint management computing platform 710 to provide one or more of these functions and/or other functions described below. Communication interface 714 may include one or more network interfaces via which endpoint management computing platform 710 can communicate with one or more other systems and/or devices in computing environment 700, such as endpoint computing device 720, endpoint computing device 730, administrator computing device 740, and/or one or more other systems and/or devices.

Endpoint computing device 720 may be a user computing device that is used by a first user (who may, e.g., be associated with an enterprise organization that operates, configures, and/or uses endpoint management computing platform 710). Endpoint computing device 730 may be a user computing device that is used by a second user (who may, e.g., be associated with an enterprise organization that operates, configures, and/or uses endpoint management computing platform 710) different from the first user of endpoint computing device 720. Administrator computing device 740 may be a user computing device that is used by an administrative user (who may, e.g., be associated with an enterprise organization that operates, configures, and/or uses endpoint management computing platform 710) different from the first user of endpoint computing device 720 and the second user of endpoint computing device 730. For instance, the administrative user of administrator computing device 740 may be a network administrator with supervisory access rights that include rights to establish enterprise policies, to approve and/or deny policy variance requests, and/or to otherwise manage an enterprise computing environment, as illustrated in greater detail below. Network 750 may include one or more local area networks, wide area networks, public networks, private networks, and/or sub-networks and may interconnect endpoint management computing platform 710, endpoint computing device 720, endpoint computing device 730, and/or administrator computing device 740.

As illustrated below, one or more aspects of the disclosure may be implemented by deploying endpoint management computing platform 710 in an enterprise computing environment, such as computing environment 700. For instance, an enterprise mobility management (EMM) system that includes endpoint management computing platform 710 may provide the ability for enterprise users (who may, e.g., use endpoint computing device 720, endpoint computing device 730, and/or one or more other endpoint devices) to configure their own device-level and/or application-level policies (e.g., on top of enterprise-enforced policies) to increase the security of their device and/or particular applications. Additionally or alternatively, the EMM system that includes endpoint management computing platform 710 may provide the ability for enterprise users (who may, e.g., use endpoint computing device 720, endpoint computing device 730, and/or one or more other endpoint devices) to request on-the-fly policy exceptions, which may be subject to administrative approval (e.g., by a user of administrator computing device 740), for certain device-level and/or application-level policies enforced by the enterprise organization. In addition, and as further illustrated below, endpoint management computing platform 710 may provide and/or integrate with data analytics services that may identify risk-prone users and/or risk-averse users based on requested policy variances (which may, e.g., correspond to requests by specific users of specific devices for relatively lower and/or relatively higher levels of enforcement of specific enterprise policies), as well as feedback services that may leverage machine learning to determine self-learned policies and/or suggest policy updates for an enterprise user group based on requested policy variances.

For example, there may be times where a user (e.g., of endpoint computing device 720, endpoint computing device 730, or the like) has an application on their device with a minimal set of restrictive policies put in place by an enterprise information technology (IT) team. It may benefit the user to have a more restrictive set of policies in place to self-protect beyond what the IT team requires. For example, the user may wish to enable a device-level encrypted connection to the intranet, setup a firewall policy for all of their devices, and so on. Using one or more aspects of the disclosure, the user may apply device-level and/or application-level policies that may get pushed to and/or saved in a Unified Endpoint Management (UEM) system (which may, e.g., be provided by and/or included in endpoint management computing platform 710). The policies may then be applied upon successive enrollments for the user's device (e.g., endpoint computing device 720, endpoint computing device 730) until the user or administrator removes the user-initiated policy.

Similarly, there may be instances in which a user (e.g., of endpoint computing device 720, endpoint computing device 730, or the like) wishes to have a policy removed for a short duration of time. For example, a managed application might be malfunctioning, and the user might wish to take a screenshot to supply to their IT department for resolution purposes. The user may initiate a policy exception from within the UEM client framework, and once approved administratively on the UEM server side, the user may be able to perform the previously restricted action an administratively-allowed number of times or for a certain duration of time before the policy is re-applied to the managed device or application.

As illustrated below, endpoint management computing platform 710 may provide a control channel for increasing or decreasing policy restrictions, as well as ways for managing this in a UEM system, ways for using this information to determine risk-averse or risk-prone behavior and users, and/or ways for using this information to determine which policies should be automatically and/or manually created or modified. For instance, aspects of the disclosure may enable a control channel to be established between the UEM agent (which may, e.g., be executed on and/or otherwise associated with endpoint computing device 720 and/or endpoint computing device 730) and the UEM server (e.g., endpoint management computing platform 710) via which user-initiated commands may be executed to allow for the creation of new device or application policies corresponding to a user's already managed application set. In addition, this same channel may be used to send policy exception requests. In some instances, the control channel may be implemented as authenticated rest application programming interfaces (APIs) (e.g., /zdm/user/policy, /zdm/user/policy/exception, /xam/user/policy, and /xam/user/policy/exception). One URL prefix may handle device level policy management requests, while another URL prefix may handle application level policy management requests.

In some instances, upon receiving a new user-initiated policy management request, the server may authenticate the user as a valid user to the system, verify that the user has the permission to initiate policy management requests, and notify the administrator that a request for a policy relaxation has been made or commit a new policy to the user's profile (or create a policy on-the-fly). Subsequently, the server may inform the user and/or device of the decision through deployment incarnation (which may, e.g., occur when a specific device is initially enrolled in a policy enforcement scheme implemented by endpoint management computing platform 710) and/or delta policy delivery (which may, e.g., occur when an enrolled device validates its existing policies and/or checks for policy updates with endpoint management computing platform 710) during subsequent device check-in and deployment evaluation.

In some instances, UEM client software running on the endpoint device (e.g., endpoint computing device 720, endpoint computing device 730) may determine whether the user is allowed to create user initiated policy management requests through a new policy. In addition, this software may provide a user with the ability to configure policies from a mobile receiver once a privilege is assigned, generate requests to API endpoints, process deployment incarnation numbers, and/or process delta policy deployments. In addition, UEM server software running on a server computing platform (e.g., endpoint management computing platform 710) may associate user-initiated policies to user and/or device enrollment contexts, handle new API endpoints, send policy exception alerts to administrators, receive policy exception decisions from administrators, create and track deployment incarnation numbers per device/enrollment context, and/or deliver policy deltas to UEM clients.

In some instances, a policy may be applied to a specific enterprise user or group of users, and each policy may be composed of one or more related pre-defined policy rules (e.g., a policy might not be a flexible container of policy rules, but instead each policy might only contain specific policy rules). In some instances, the policy rules may include one or more pre-defined policy rules (which may, e.g., by defined by one or more enterprise administrators) and/or one or more dynamic policy rules (which may, e.g., be generated by endpoint management computing platform 710). When a new request comes in to either increase or decrease the policy restrictions, the UEM system (e.g., endpoint management computing platform 710) may create a new on-the-fly policy that applies to just one user. Such an on-the-fly policy may, for instance, by generated in real-time by endpoint management computing platform 710 in response to the request and be applied to the requesting user and/or their corresponding endpoint device. If multiple requests are made from the same user, this may result in multiple new policies for that one user. In some instances, these on-the-fly policies may also be time-bound, and may self-destruct, lapse, and/or otherwise expire in certain instances (e.g., if a policy exemption is only lifted for an hour, and this hour elapses). Additionally or alternatively, the UEM system (e.g., endpoint management computing platform 710) may create a new “user” policy type that is composed of a grouping of policy rules that apply to one specific user (e.g., so as to create a meta-policy for each user). If a user-policy already exists for a user, then instead of creating a new user policy, the existing user policy may be updated. In addition, each policy rule may have a time-bound limit, and each policy rule may be removed from the user policy after its corresponding time-bound limit expires. In some instances, implementing this user-centric approach (as opposed to the previous policy-centric approach) may provide benefits in that it might be easier to manage user-specific policy variance requests. For example, when the user-centric approach is implemented, an administrative user (who may, e.g., interact with an administrator console provided by endpoint management computing platform 710 to manage one or more policies) may be presented with a user-by-user view of what policies are being applied to each enterprise user along with what policy variances, if any, are being applied to each enterprise user. This view may enable the administrative user to identify, evaluate, and/or adjust a specific user's policy set while being presented with a holistic view of that specific user's current policy settings (which might, e.g., be obscured or otherwise be more difficult to understand if a policy-centric view is presented).

In some instances, the UEM system (e.g., endpoint management computing platform 710) may include a mechanism for determining order-of-relevance, so that conflicting policies are evaluated in a defined manner. Such a mechanism may, for instance, be a rules engine that uses precedential rules to determine which specific policy controls in a given instance when different policies that are being applied to a given device and/or user are in conflict with each other. For instance, on-the-fly polices or user policies may be given highest precedence, as they are variances from a baseline policy. In some instances, the UEM system (e.g., endpoint management computing platform 710) also may provide a dashboard, which may enable an administrative user to filter baseline policies from on-the-fly or user policies, as well as a search engine, which may enable an administrative user to find policy rules for a specific user or specific users having specific policy rules.

In some instances, the UEM system (e.g., endpoint management computing platform 710) may feed data associated with user-requested policy variances into a risk-assessment system to identify and/or alert on high-risk behavior and/or high-risk users. For example, if a specific device suddenly issues multiple requests for a relaxation of policy rules, these requests may temporarily increase a risk score associated with the specific device (which may, e.g., be determined by endpoint management computing platform 710 and/or an analytics service executed by a risk-assessment system communicating with endpoint management computing platform 710). This elevation in risk score may, for instance, trigger a notification to administrator and/or an automatic rule to lock down the device and/or block the device from accessing enterprise resources. Similarly, if a specific user frequently requests increased restrictions, these requests may reduce a risk score associated with the specific user.

In some instances, the UEM system (e.g., endpoint management computing platform 710) may track data across multiple users and/or multiple devices, detect and/or learn suggested policy changes, and act on these detected and/or learned suggested policy changes automatically. For instance, if the UEM system (e.g., endpoint management computing platform 710) detects that a significant portion of enrolled devices in a specific geographic region are requesting a change in a VPN or wireless policy, the UEM system may alert administrators and suggest that a new baseline policy be created for that specific geographic region. In addition to geographic region, the UEM system (e.g., endpoint management computing platform 710) may suggest baseline policy changes based on other identified commonalities, such as user group membership (e.g., if a majority of users in a specific group request the same policy variance), device platform (e.g., if a majority of users with the same device platform and/or operating system request the same policy variance), device manufacturer (e.g., if a majority of users with the same device manufacturer request the same policy variance), device version (e.g., if a majority of users with the same device version request the same policy variance), application usage (e.g., if a majority of users with the same application(s) running and/or installed request the same policy variance). In some instances, the UEM system (e.g., endpoint management computing platform 710) may be configured so that some learned base policy changes are implemented automatically while others might not be implemented unless an administrative user approves the suggested policy changes.

FIGS. 8A-8G depict an example event sequence for processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein. Referring to FIG. 8A, at step 801, endpoint management computing platform 710 may receive enrollment information from endpoint computing device 720. Such enrollment information may, for instance, include a device identifier associated with endpoint computing device 720, a user identifier associated with the user of endpoint computing device 720, device details information (e.g., device platform, operating system, version, installed and/or running applications, etc.), and/or one or more unique identifiers associated with the device and/or the user.

At step 802, endpoint management computing platform 710 may generate device profile provisioning data for endpoint computing device 720 (e.g., based on the enrollment information received from endpoint computing device 720). For instance, endpoint management computing platform 710 may generate device profile provisioning data that includes one or more baseline policies to be implemented by endpoint computing device 720 based on one or more profile templates maintained by endpoint management computing platform 710. The device profile provisioning data generated by endpoint management computing platform 710 may include policies that are specific to the user group and/or organization role associated with the user of endpoint computing device 720 and/or may include policies that are applicable enterprise-wide (e.g., for all users associated with the enterprise organization of which the user of endpoint computing device 720 is a member). At step 803, endpoint management computing platform 710 may send the device profile provisioning data to endpoint computing device 720. By sending the device profile provisioning data to endpoint computing device 720, endpoint management computing platform 710 may cause a policy agent executing on endpoint computing device 720 to enforce one or more policies defined in the device profile provisioning data. In addition, the one or more profile templates maintained by endpoint management computing platform 710 may store information specifying pre-defined baseline policy sets (e.g., baseline device security policies, baseline user authentication policies, baseline application usage policies, baseline data access policies, etc.) for users associated with different user groups and/or different organization roles associated with an enterprise organization that has defined and/or seeks to enforce the policies. For instance, endpoint management computing platform 710 may maintain one or more first profile templates for a first group of enterprise users (e.g., users in a sales group), one or more second profile templates for a second group of enterprise users (e.g., users in an engineering group), one or more third profile templates for a third group of enterprise users (e.g., users in an executive group), and/or the like.

At step 804, endpoint management computing platform 710 may receive enrollment information from endpoint computing device 730. Such enrollment information may, for instance, include a device identifier associated with endpoint computing device 730, a user identifier associated with the user of endpoint computing device 730, device details information (e.g., device platform, operating system, version, installed and/or running applications, etc.), and/or one or more unique identifiers associated with the device and/or the user.

Referring to FIG. 8B, at step 805, endpoint management computing platform 710 may generate device profile provisioning data for endpoint computing device 730 (e.g., based on the enrollment information received from endpoint computing device 730). For instance, endpoint management computing platform 710 may generate device profile provisioning data that includes one or more baseline policies to be implemented by endpoint computing device 730 based on one or more profile templates maintained by endpoint management computing platform 710. The device profile provisioning data generated by endpoint management computing platform 710 may include policies that are specific to the user group and/or organization role associated with the user of endpoint computing device 730 and/or may include policies that are applicable enterprise-wide (e.g., for all users associated with the enterprise organization of which the user of endpoint computing device 730 is a member). The policies that are specific to the user group and/or organization role associated with the user of endpoint computing device 730 may, for instance, be different from the policies that are specific to the user group and/or organization role associated with the user of endpoint computing device 720. At step 806, endpoint management computing platform 710 may send the device profile provisioning data to endpoint computing device 730. By sending the device profile provisioning data to endpoint computing device 730, endpoint management computing platform 710 may cause a policy agent executing on endpoint computing device 730 to enforce one or more policies defined in the device profile provisioning data. The policy agent executing on endpoint computing device 730 which enforces the one or more policies defined in the device profile provisioning data may, for instance, incorporate one or more aspects of client agent 604, described above. For instance, the policy agent executing on endpoint computing device 730 may manage and/or otherwise control one or more applications, processes, and/or other functions on endpoint computing device 730 based on policies, certificates, and/or keys obtained from endpoint management computing platform 710 and/or one or more other servers (e.g., gateway server 606).

At step 807, endpoint computing device 720 may receive input requesting a policy management menu (e.g., from the user of endpoint computing device 720). At step 808, endpoint computing device 720 may present a policy management menu. Such a policy management menu may, for instance, include one or more forms and/or other interfaces via which a user of endpoint computing device 720 may define and/or request a policy variance with respect to one or more policies currently being applied to endpoint computing device 720 by endpoint management computing platform 710 and/or enforced on endpoint computing device 720 by a policy agent executing on endpoint computing device 720. Like the policy agent executing on endpoint computing device 730, the policy agent executing on endpoint computing device 720 may incorporate one or more aspects of client agent 604, described above. For instance, the policy agent executing on endpoint computing device 720 may manage and/or otherwise control one or more applications, processes, and/or other functions on endpoint computing device 720 based on policies, certificates, and/or keys obtained from endpoint management computing platform 710 and/or one or more other servers (e.g., gateway server 606).

Referring to FIG. 8C, at step 809, endpoint computing device 720 may receive input defining a requested policy variance. For example, endpoint computing device 720 may receive input defining a policy exemption (e.g., to exempt endpoint computing device 720 and/or the user of endpoint computing device 720 from one or more specific policies) and/or a new policy (e.g., to subject endpoint computing device 720 and/or the user of endpoint computing device 720 to one or more specific policies that are not currently being applied and/or enforced). At step 810, endpoint computing device 720 may generate a policy variance request (e.g., based on the input received at step 809). For example, in generating the policy variance request, endpoint computing device 720 may create a JSON object that includes details and/or other information associated with the requested policy variance. At step 811, endpoint computing device 720 may send the policy variance request to endpoint management computing platform 710. For instance, endpoint computing device 720 may send the policy variance request to endpoint management computing platform 710 using a rest API (e.g., be transmitting an HTTP PUT request with the JSON object created at step 810 as a payload).

At step 812, endpoint management computing platform 710 may receive the policy variance request from endpoint computing device 720. For example, at step 812, endpoint management computing platform 710 may receive, via the communication interface (e.g., communication interface 714), from a first endpoint computing device (e.g., endpoint computing device 720), a request for a first policy variance.

In some embodiments, receiving the request for the first policy variance from the first endpoint computing device may include receiving a request for a policy exemption from the first endpoint computing device. For example, in receiving the request for the first policy variance from the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may receive a request for a policy exemption from the first endpoint computing device (e.g., endpoint computing device 720). For instance, endpoint management computing platform 710 may receive a request for a policy exemption to exempt endpoint computing device 720 and/or the user of endpoint computing device 720 from one or more specific policies. Additionally or alternatively, receiving the request for the first policy variance from the first endpoint computing device may include receiving a request for a new policy from the first endpoint computing device. For example, in receiving the request for the first policy variance from the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may receive a request for a new policy from the first endpoint computing device (e.g., endpoint computing device 720). For instance, endpoint management computing platform 710 may receive a request for a new policy to subject endpoint computing device 720 and/or the user of endpoint computing device 720 to one or more specific policies that are not currently being applied and/or enforced.

In some embodiments, receiving the request for the first policy variance from the first endpoint computing device may include receiving a Hypertext Transfer Protocol (HTTP) PUT method request corresponding to a JavaScript Object Notation (JSON) object defining one or more details of the first policy variance. For instance, in receiving the request for the first policy variance from the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may receive a Hypertext Transfer Protocol (HTTP) PUT method request corresponding to a JavaScript Object Notation (JSON) object defining one or more details of the first policy variance.

Referring to FIG. 8D, at step 813, endpoint management computing platform 710 may authenticate endpoint computing device 720 (e.g., based on enrollment information and/or status associated with endpoint computing device 720, enterprise credentials associated with endpoint computing device 720, and/or other information). For example, at step 813, based on receiving the request for the first policy variance, endpoint management computing platform 710 may authenticate the first endpoint computing device (e.g., endpoint computing device 720) based on enrollment information associated with the first endpoint computing device (e.g., endpoint computing device 720). In some embodiments, authenticating the first endpoint computing device based on the enrollment information associated with the first endpoint computing device may include authenticating the first endpoint computing device using one or more enterprise credentials linked to the first endpoint computing device. For example, in authenticating the first endpoint computing device (e.g., endpoint computing device 720) based on the enrollment information associated with the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may authenticate the first endpoint computing device (e.g., endpoint computing device 720) using one or more enterprise credentials linked to the first endpoint computing device (e.g., endpoint computing device 720). Such enterprise credentials may, for instance, include an SSO credential linked to the first endpoint computing device (e.g., endpoint computing device 720), as described above. For instance, the enterprise credentials may include credential information and/or other authentication information used by client agent 604 (which may, e.g., execute on endpoint computing device 720) in authenticating with gateway server 606, described above.

At step 814, endpoint management computing platform 710 may validate data included in the policy variance request. For example, at step 814, based on receiving the request for the first policy variance, endpoint management computing platform 710 may validate contents of the request for the first policy variance. In some embodiments, validating the contents of the request for the first policy variance may include un-packaging contents of the JSON object defining the one or more details of the first policy variance. For instance, in validating the contents of the request for the first policy variance, endpoint management computing platform 710 may un-package contents of the JSON object defining the one or more details of the first policy variance. The one or more details of the first policy variance defined by the contents of the JSON object may, for instance, include one or more identifiers associated with the requesting device and/or user, one or more identifiers corresponding to the specific policy to be modified, information specifying the variance being requested (e.g., an addition to an existing policy, an exception from an existing policy, etc.), information specifying a time period in which the requested policy variance is needed, information specifying a reason why the requested policy variance is needed, and/or other information associated with the requested policy variance.

At step 815, endpoint management computing platform 710 may generate an alert for administrator computing device 740 (e.g., based on and/or responsive to successfully authenticating endpoint computing device 720 and validating the request data; otherwise, endpoint management computing platform 710 may generate and/or send one or more error messages). For example, at step 815, based on authenticating the first endpoint computing device (e.g., endpoint computing device 720) and validating the contents of the request for the first policy variance, endpoint management computing platform 710 may generate an alert prompting an administrative user associated with an administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance.

At step 816, endpoint management computing platform 710 may send the alert to administrator computing device 740 (e.g., directly, such as via email or SNMP message, and/or indirectly, such as by placing the alert in a queue in an administrative console). For example, at step 816, endpoint management computing platform 710 may send the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance.

In some embodiments, sending the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance may include sending an email prompt to the administrative user associated with the administrator computing device. For example, in sending the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance, endpoint management computing platform 710 may send an email prompt to the administrative user associated with the administrator computing device (e.g., administrator computing device 740).

In some embodiments, sending the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance may include sending a push notification prompt to the administrative user associated with the administrator computing device. For example, in sending the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance, endpoint management computing platform 710 may send a push notification prompt to the administrative user associated with the administrator computing device (e.g., administrator computing device 740) via a notification service and/or other messaging service associated with administrator computing device 740 and/or computing environment 700.

In some embodiments, sending the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance may include adding a prompt associated with the request for the first policy variance to a queue of pending policy variance requests maintained in an administrator console. For example, in sending the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance, endpoint management computing platform 710 may add a prompt associated with the request for the first policy variance to a queue of pending policy variance requests maintained in an administrator console. Such an administrator console may, for instance, include and/or be a web portal hosted by endpoint management computing platform 710 that includes a plurality of user interfaces, which may be served by endpoint management computing platform 710 to administrator computing device 740.

In addition, in adding the prompt associated with the request for the first policy variance to the queue of pending policy variance requests maintained in the administrator console and/or in serving one or more pages of the administrator console to administrator computing device 740, endpoint management computing platform 710 may cause administrator computing device 740 to present one or more dashboard interfaces, similar to graphical user interface 900, which is illustrated in FIG. 9. As seen in FIG. 9, graphical user interface 900 may include one or more graphical elements and/or information that provide a policy-centric view of various enterprise policies being enforced, managed, and/or maintained by endpoint management computing platform 710. For instance, graphical user interface 900 may include information that identifies, for each policy, a policy name, policy details information, one or more exemptions and/or other variances that have been granted for the policy, one or more pending policy variance requests associated with the policy, and/or other information. Additionally or alternatively, in adding the prompt associated with the request for the first policy variance to the queue of pending policy variance requests maintained in the administrator console and/or in serving one or more pages of the administrator console to administrator computing device 740, endpoint management computing platform 710 may cause administrator computing device 740 to present one or more dashboard interfaces, similar to graphical user interface 1000, which is illustrated in FIG. 10. As seen in FIG. 10, graphical user interface 1000 may include one or more graphical elements and/or information that provide a user-centric view of various enterprise policies being enforced, managed, and/or maintained by endpoint management computing platform 710. For instance, graphical user interface 1000 may include information that identifies, for each user, a user name and/or other user details, what policies are being applied, one or more policy exemptions and/or other variances that have been granted for the user, one or more pending policy variance requests for the user, and/or other information.

Referring to FIG. 8E, at step 817, endpoint management computing platform 710 may receive a response from administrator computing device 740 (e.g., via a message sent by administrator computing device 740 to endpoint management computing platform 710, via one or more user interfaces of the administrator console described above, etc.). For example, at step 817, endpoint management computing platform 710 may receive a response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance. In some embodiments, receiving the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance may include receiving input from the administrative user associated with the administrator computing device via the administrator console. For example, in receiving the response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance, endpoint management computing platform 710 may receive input from the administrative user associated with the administrator computing device (e.g., administrator computing device 740) via the administrator console (e.g., as user input received via one or more user interfaces of the administrator console).

At step 818, endpoint management computing platform 710 may generate a policy variance result message (which may, e.g., include commands and/or information that approves, denies, or partially approves the requested policy variance). For example, at step 818, endpoint management computing platform 710 may generate a policy variance result message based on the response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance.

In some embodiments, generating the policy variance result message based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance may include generating, based on one or more message templates maintained by the computing platform, a result message approving the request for the first policy variance in full, a result message approving the request for the first policy variance in part, or a result message denying the request for the first policy variance. For example, in generating the policy variance result message based on the response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the request for the first policy variance, endpoint management computing platform 710 may generate, based on one or more message templates maintained by the computing platform (e.g., endpoint management computing platform 710), a result message approving the request for the first policy variance in full, a result message approving the request for the first policy variance in part, or a result message denying the request for the first policy variance. In instances in which endpoint management computing platform 710 generate a result message approving the request for the first policy variance in part, endpoint management computing platform 710 may, for instance, define one or more time limits and/or other limitations on a requested policy exemption, and the result message may include commands and/or other information to implement these time limits and/or other limitations on the requested policy exemption.

At step 819, endpoint management computing platform 710 may send the policy variance result message to endpoint computing device 720. For example, at step 819, endpoint management computing platform 710 may send, via the communication interface (e.g., communication interface 714), to the first endpoint computing device (e.g., endpoint computing device 720), the policy variance result message. In addition, by sending the policy variance result message to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may cause the first endpoint computing device (e.g., endpoint computing device 720) to execute one or more policy actions (which may, e.g., include causing and/or configuring a policy agent on endpoint computing device 720 to implement the policy variance in full or in part, as discussed below).

In some embodiments, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to implement the first policy variance. For example, by sending the policy variance result message to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may cause the first endpoint computing device (e.g., endpoint computing device 720) to implement the first policy variance.

In some embodiments, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to implement a modified version of the first policy variance. For example, by sending the policy variance result message to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may cause the first endpoint computing device (e.g., endpoint computing device 720) to implement a modified version of the first policy variance. For instance, the modified version of the first policy variance may have been defined by an administrative user (e.g., of administrator computing device 740) to impose one or more time limits, one or more location limits, and/or other constraints on the originally requested policy variance.

In some embodiments, sending the policy variance result message to the first endpoint computing device may prevent the first endpoint computing device from implementing the first policy variance. For example, by sending the policy variance result message to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may prevent the first endpoint computing device (e.g., endpoint computing device 720) from implementing the first policy variance.

At step 820, endpoint management computing platform 710 may generate updated device profile provisioning data for endpoint computing device 720. The updated device profile provisioning data generated for endpoint computing device 720 may, for instance, include information reflecting the requested and/or granted policy variance. In addition, endpoint management computing platform 710 may send the updated device profile provisioning data to endpoint computing device 720. Endpoint management computing platform 710 also may repeat one or more steps described above to similarly process other policy variance requests received from endpoint computing device 720, endpoint computing device 730, and/or other systems or devices.

Referring to FIG. 8F, at step 821, endpoint management computing platform 710 may log policy variance data (which may, e.g., identify and/or otherwise be associated with various policy variances requested by endpoint computing device 720, endpoint computing device 730, and/or other systems or devices over a particular duration time). For example, at step 821, after sending the policy variance result message to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may log policy variance information associated with the request for the first policy variance received from the first endpoint computing device (e.g., endpoint computing device 720).

At step 822, endpoint management computing platform 710 may provide the logged policy variance data to an analytics service, such as a risk analytics service (which may, e.g., update one or more user-specific and/or device-specific risk scores based on policy variances that have been requested and/or approved in connection with various users and/or devices). In some instances, the analytics service may be hosted on and/or may execute on endpoint management computing platform 710, while in other instances, the analytics service may be hosted on and/or may execute on one or more others systems in computing environment 700. For example, at step 822, endpoint management computing platform 710 may send the policy variance information to a device analytics service, and by sending the policy variance information to the device analytics service, endpoint management computing platform 710 may cause the device analytics service to update a user-specific score for the first endpoint computing device (e.g., endpoint computing device 720) based on the policy variance information. For instance, endpoint management computing platform 710 may cause the device analytics service to update a user-specific score for endpoint computing device 720 based on the user of endpoint computing device 720 requesting the policy variance described in the examples above.

At step 823, endpoint management computing platform 710 may generate one or more suggested policy actions (e.g., based on logged policy variance data, so as to provide a feedback mechanism to one or more network administrators). For example, at step 823, endpoint management computing platform 710 may generate at least one suggested policy action based on the policy variance information. In some instances, endpoint management computing platform 710 may generate the at least one suggested policy actions based on receiving and processing a plurality of policy variance requests, identifying one or more common requests and/or other trends, and formatting output associated with such identified trends using one or more templates to formulate suggested actions.

In some embodiments, generating the at least one suggested policy action based on the policy variance information may include generating the at least one suggested policy action based on one or more of a geographic region associated with a plurality of policy variances, a user group membership associated with the plurality of policy variances, a device platform associated with the plurality of policy variances, a device manufacturer associated with the plurality of policy variances, a device version associated with the plurality of policy variances, or an application usage factor associated with the plurality of policy variances. For example, in generating the at least one suggested policy action based on the policy variance information, endpoint management computing platform 710 may generate the at least one suggested policy action based on one or more of a geographic region associated with a plurality of policy variances, a user group membership associated with the plurality of policy variances, a device platform associated with the plurality of policy variances, a device manufacturer associated with the plurality of policy variances, a device version associated with the plurality of policy variances, or an application usage factor associated with the plurality of policy variances. For instance, endpoint management computing platform 710 may identify common requests and/or other trends across one or more of these factors and formulate suggested actions (e.g., using templates, as discussed above) to realign baseline policies with commonly requested policy variances.

At step 824, endpoint management computing platform 710 may send the suggested policy action to administrator computing device 740. For example, at step 824, endpoint management computing platform 710 may send an alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the at least one suggested policy action. Such an alert may, for instance, be sent directly to administrator computing device 740 or via the administrator console, as described above.

Referring to FIG. 8G, at step 825, endpoint management computing platform 710 may receive a response from administrator computing device 740 regarding the suggested policy action. For example, at step 825, endpoint management computing platform 710 may receive a response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the at least one suggested policy action. At step 826, endpoint management computing platform 710 may generate new baseline provisioning data (e.g., based on the response received from administrator computing device 740). For example, at step 826, endpoint management computing platform 710 may generate new baseline provisioning data based on the response to the alert prompting the administrative user associated with the administrator computing device (e.g., administrator computing device 740) to approve or reject the at least one suggested policy action.

At step 827, endpoint management computing platform 710 may send the new baseline provisioning data to endpoint computing device 720, endpoint computing device 730, and/or one or more other systems and/or devices. For example, at step 827, endpoint management computing platform 710 may send, via the communication interface (e.g., communication interface 714), to the first endpoint computing device (e.g., endpoint computing device 720), the new baseline provisioning data. In addition, by sending the new baseline provisioning data to the first endpoint computing device (e.g., endpoint computing device 720), endpoint management computing platform 710 may cause the first endpoint computing device (e.g., endpoint computing device 720) to implement one or more policy updates associated with the at least one suggested policy action.

At step 828, endpoint management computing platform 710 may log policy variance data. For instance, endpoint management computing platform 710 may continue to log policy variance data, as described above, to continue tracking policy variances and providing suggested modifications to one or more baseline policy sets. In addition, endpoint management computing platform 710 may repeat one or more steps described above to continue processing other policy variance requests received from endpoint computing device 720, endpoint computing device 730, and/or other systems or devices.

FIG. 11 depicts an example method of processing policy variance requests in an enterprise computing environment in accordance with one or more illustrative aspects described herein. Referring to FIG. 11, at step 1105, a computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a first endpoint computing device, a request for a first policy variance (e.g., similar to how endpoint management computing platform 710 may receive a policy variance request from endpoint computing device 720 at step 812). At step 1110, based on receiving the request for the first policy variance, the computing platform may authenticate the first endpoint computing device based on enrollment information associated with the first endpoint computing device (e.g., similar to how endpoint management computing platform 710 may authenticate endpoint computing device 720 at step 813). At step 1115, the computing platform may validate contents of the request for the first policy variance (e.g., similar to how endpoint management computing platform 710 may validate data included in the policy variance request at step 814). At step 1120, the computing platform may generate a policy variance result message based on approval or rejection of the request for the first policy variance (e.g., similar to how endpoint management computing platform 710 may generate a policy variance result message at step 818). At step 1125, the computing platform may send, via the communication interface, to the first endpoint computing device, the policy variance result message (e.g., similar to how endpoint management computing platform 710 may send the policy variance result message to endpoint computing device 720 at step 819). In addition, sending the policy variance result message to the first endpoint computing device may cause the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are described as example implementations of the following claims. 

What is claimed is:
 1. A computing platform comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, configure the at least one processor to: receive, via the communication interface, from a first endpoint computing device, a request for a first policy variance, wherein the request for the first policy variance comprises a request for an exception from an existing policy, and wherein the request for the first policy variance was generated by the first endpoint computing device based on input received at the first endpoint computing device; based on receiving the request for the first policy variance: authenticate the first endpoint computing device based on enrollment information associated with the first endpoint computing device; and validate contents of the request for the first policy variance; generate a policy variance result message based on approval or rejection of the request for the first policy variance, wherein the approval or rejection of the request for the first policy variance is indicated in a response message from an administrator computing device; send, via the communication interface, to the first endpoint computing device, the policy variance result message, wherein sending the policy variance result message to the first endpoint computing device causes the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance; after sending the policy variance result message to the first endpoint computing device, log policy variance information identifying the requested exception from the existing policy and the first endpoint computing device; assign the logged policy variance information to a subset of existing logged policy variance information associated with a geographic location of the first endpoint computing device; detect whether a majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests for the requested exception from the existing policy; based on detecting that the majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests for the requested exception from the existing policy: generate at least one suggested policy action comprising removing a restriction, included in the existing policy and for the geographic location of the first endpoint computing device, corresponding to the requested exception; generate new baseline provisioning data based on the at least one suggested policy action and the approval or the rejection of the request for the first policy variance by the administrator computing device; and send, via the communication interface, to the first endpoint computing device, the new baseline provisioning data, wherein sending the new baseline provisioning data to the first endpoint computing device causes the first endpoint computing device to implement one or more policy updates associated with the at least one suggested policy action.
 2. The computing platform of claim 1, wherein receiving the request for the first policy variance from the first endpoint computing device comprises receiving a Hypertext Transfer Protocol (HTTP) PUT method request corresponding to a JavaScript Object Notation (JSON) object defining one or more details of the first policy variance.
 3. The computing platform of claim 2, wherein authenticating the first endpoint computing device based on the enrollment information associated with the first endpoint computing device comprises authenticating the first endpoint computing device using one or more enterprise credentials linked to the first endpoint computing device, and wherein validating the contents of the request for the first policy variance comprises un-packaging contents of the JSON object defining the one or more details of the first policy variance.
 4. The computing platform of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, configure the at least one processor to: based on authenticating the first endpoint computing device and validating the contents of the request for the first policy variance, generate an alert prompting an administrative user associated with the administrator computing device to approve or reject the request for the first policy variance; send the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance; and receive a response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance, wherein the policy variance result message is generated based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the request for the first policy variance.
 5. The computing platform of claim 1, wherein generating the policy variance result message comprises generating, based on one or more message templates maintained by the computing platform, a result message approving the request for the first policy variance in full, a result message approving the request for the first policy variance in part, or a result message denying the request for the first policy variance.
 6. The computing platform of claim 1, wherein sending the policy variance result message to the first endpoint computing device causes the first endpoint computing device to implement the first policy variance.
 7. The computing platform of claim 1, wherein sending the policy variance result message to the first endpoint computing device causes the first endpoint computing device to implement a modified version of the first policy variance.
 8. The computing platform of claim 1, wherein sending the policy variance result message to the first endpoint computing device prevents the first endpoint computing device from implementing the first policy variance.
 9. The computing platform of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, configure the at least one processor to: send the policy variance information to a device analytics service, wherein sending the policy variance information to the device analytics service causes the device analytics service to update a user-specific score for the first endpoint computing device based on the policy variance information.
 10. The computing platform of claim 9, wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, configure the at least one processor to: send an alert prompting an administrative user associated with an administrator computing device to approve or reject the at least one suggested policy action; and receive a response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action, wherein generating the new baseline provisioning data based on the at least one suggested policy action comprises generating the new baseline provisioning data based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action.
 11. The computing platform of claim 1, wherein the geographic location of the first endpoint computing device is associated with a plurality of policy variances.
 12. The computing platform of claim 1, wherein the subset of existing logged policy variance information is further associated with a user group membership associated with a plurality of policy variances.
 13. The computing platform of claim 1, wherein the subset of existing logged policy variance information is further associated with a device platform associated with a plurality of policy variances.
 14. The computing platform of claim 1, wherein the subset of existing logged policy variance information is further associated with a device manufacturer associated with a plurality of policy variances.
 15. The computing platform of claim 1, wherein the subset of existing logged policy variance information is further associated with a device version associated with a plurality of policy variances.
 16. The computing platform of claim 1, wherein the subset of existing logged policy variance information is further associated with an application usage factor associated with a plurality of policy variances.
 17. The computing platform of claim 1, wherein generating the new baseline provisioning data comprises generating provisioning data that includes one or more policies that are specific to a user group of an organization and one or more policies that are applicable for all users of the organization.
 18. The computing platform of claim 1, wherein the restriction corresponds to the requested exception.
 19. The computing platform of claim 1, where the restriction corresponds to a different exception.
 20. A method comprising: at a computing platform comprising at least one processor, memory, and a communication interface: receiving, by the at least one processor, via the communication interface, from a first endpoint computing device, a request for a first policy variance, wherein the request for the first policy variance comprises a request for an exception from an existing policy, and wherein the request for the first policy variance was generated by the first endpoint computing device based on input received at the first endpoint computing device; based on receiving the request for the first policy variance: authenticating, by the at least one processor, the first endpoint computing device based on enrollment information associated with the first endpoint computing device; and validating, by the at least one processor, contents of the request for the first policy variance; generating, by the at least one processor, a policy variance result message based on approval or rejection of the request for the first policy variance, wherein the approval or rejection of the request for the first policy variance is indicated in a response message from an administrator computing device; sending, by the at least one processor, via the communication interface, to the first endpoint computing device, the policy variance result message, wherein sending the policy variance result message to the first endpoint computing device causes the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance; after sending the policy variance result message to the first endpoint computing device, logging, by the at least one processor, policy variance information identifying the requested exception from the existing policy and the first endpoint computing device; assign the logged policy variance information to a subset of existing logged policy variance information associated a geographic location of the first endpoint computing device; detect whether a majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests the requested exception from the existing policy; based on detecting that the majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests for the requested exception from the existing policy: generating, by the at least one processor, at least one suggested policy action comprising removing a restriction, included in the existing policy and for the geographic location of the first endpoint computing device, corresponding to the requested exception; generating, by the at least one processor, new baseline provisioning data based on the at least one suggested policy action and the approval or the rejection of the request for the first policy variance by the administrator computing device; and sending, by the at least one processor, via the communication interface, to the first endpoint computing device, the new baseline provisioning data, wherein sending the new baseline provisioning data to the first endpoint computing device causes the first endpoint computing device to implement one or more policy updates associated with the at least one suggested policy action.
 21. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to: receive, via the communication interface, from a first endpoint computing device, a request for a first policy variance, wherein the request for the first policy variance comprises a request for an exception from an existing policy, and wherein the request for the first policy variance was generated by the first endpoint computing device based on input received at the first endpoint computing device; based on receiving the request for the first policy variance: authenticate the first endpoint computing device based on enrollment information associated with the first endpoint computing device; and validate contents of the request for the first policy variance; generate a policy variance result message based on approval or rejection of the request for the first policy variance, wherein the approval or rejection of the request for the first policy variance is indicated in a response message from an administrator computing device; send, via the communication interface, to the first endpoint computing device, the policy variance result message, wherein sending the policy variance result message to the first endpoint computing device causes the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance; after sending the policy variance result message to the first endpoint computing device, log policy variance information identifying the requested exception from the existing policy and the first endpoint computing device; assign the logged policy variance information to a subset of existing logged policy variance information associated with a geographic location of the first endpoint computing device; detect whether a majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests for the requested exception form the existing policy; based on detecting that the majority of the existing logged policy variance information in the subset of existing logged policy variance information comprises requests for the requested exception from the existing policy: generate at least one suggested policy action comprising removing a restriction, included in the existing policy and for the geographic location of the first endpoint computing device, corresponding to the requested exception; send an alert prompting an administrative user associated with an administrator computing device to approve or reject the at least one suggested policy action; receive a response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action; generate new baseline provisioning data based on the response to the alert prompting the administrative user associated with the administrator computing device to approve or reject the at least one suggested policy action; and send, via the communication interface, to the first endpoint computing device, the new baseline provisioning data, wherein sending the new baseline provisioning data to the first endpoint computing device causes the first endpoint computing device to implement one or more policy updates associated with the at least one suggested policy action.
 22. A method comprising: receiving a plurality of requests to adjust a rule that governs operation of an endpoint computing device, the rule being configured to prevent performance of an action on the endpoint computing device, the requested adjustment being to allow the action, the plurality of requests being associated with a common geographic region, wherein the plurality of requests were generated by the endpoint computing device based on input received at the endpoint computing device; modifying a score in response to receipt of the plurality of requests, the modified score indicative of behavior of a user of the endpoint computing device as being high-risk; in response to modification of the score, blocking the endpoint computing device from access to at least one resource; based on identifying that the plurality of requests to adjust the rule comprises a majority of total requests received from the common geographic region, adjusting the rule to allow the action; generating new baseline provisioning data based on: the rule adjustment, and approval or the rejection of the request for the rule adjustment by an administrator computing device; and sending, via a communication interface, to the endpoint computing device, the new baseline provisioning data, wherein sending the new baseline provisioning data to the endpoint computing device causes the endpoint computing device to implement one or more policy updates associated with at least one suggested policy action. 